stack740, stack744, stack748, stack752, stack756, stack760,
	stack764, stack768, stack772, stack776, stack780, stack784,
	stack788, stack792, stack796, stack800, stack804, stack808,
	stack812, stack816, stack820, stack824, stack828, stack832,
	stack836, stack840, stack844, stack848, stack852, stack856,
	stack860, stack864, stack868, stack872, stack876, stack880,
	stack884, stack888, stack892, stack896, stack900, stack904,

    // expected-remark@above {{ID: 5}}
    // expected-remark@above {{Successors: {6}}}
        %stack_handle1 = "tf.StackV2"(%arg0) {elem_type = f32, stack_name = "s"} : (tensor<i32>) -> tensor<!tf_type.resource>
        // expected-remark@above {{ID: 0}}
        %stack_handle2 = "tf.StackV2"(%arg0) {elem_type = f32, stack_name = "s"} : (tensor<i32>) -> tensor<!tf_type.resource>
        // expected-remark@above {{ID: 1}}

    maximum size needs to be a constant and 2) a push op can be found with a
    known shape, and all push ops need to have the same shape.

    A stack creation op "tf.StackV2" will be turned in to two zero-initialized
    variables, for the buffer and current size. Each push will be turned into
    ```mlir
      %old_val = "tf.ReadVariableOp"(%buffer)
      %old_size = "tf.ReadVariableOp"(%size)